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| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
| Einstein Trust Layer & Security | - Data Masking
| |
| Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Reasoning Engine & AI Actions | - Workflow mastery
|
The Salesforce AI-201 exam questions on the platform have been gathered by subject matter experts to ensure that they accurately reflect the format and difficulty level of the actual Salesforce AI-201 exam. This makes these Salesforce Certified Agentforce Specialist PDF Questions ideal for individuals looking to pass the Salesforce AI-201 Exam on their first try. You can evaluate the product with a free AI-201 demo.
NEW QUESTION # 88
Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach. Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?
Answer: C
Explanation:
For sales reps who need to draft personalized emails based on previous communications, the Agentforce Specialist should recommend the Agent Action: Draft or Revise Sales Email. This action uses AI to generate or revise email content, leveraging past successful communications to create personalized and relevant outreach to prospects or clients.
Find Similar Opportunities is used for opportunity matching, not email drafting.
Summarize Record provides a summary of customer data but does not directly help with drafting emails.
NEW QUESTION # 89
What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?
Answer: C
Explanation:
UC is deploying an Agentforce Service Agent with multiple topics and actions to production.
NEW QUESTION # 90
Universal Containers (UC) needs to create a custom prompt template that can be called from a Lightning web component. Which prompt template type should UC create?
Answer: C
Explanation:
The AgentForce Developer Integration Guide specifies that Flex prompt templates are the correct type for custom or embedded integrations, such as invoking a prompt from a Lightning Web Component (LWC).
Flex templates are designed for general-purpose use cases and can be called programmatically via Apex, Flow, or LWC APIs. They offer flexible input and output structures, allowing developers to integrate AgentForce reasoning into custom applications and UI components.
NEW QUESTION # 91
Cloud Kicks (CK) is launching a new partner portal on Experience Cloud, CK wants to provide partners with an agent that can answer questions about product specifications from the knowledge base and allow them to submit a new Lead for a potential customer they've identified.
The agent must be accessible only to authenticated partner users on the portal. Which agent type is required to meet this scenario?
Answer: A
Explanation:
The required agent type is the Service Agent (C). The core function described-answering questions from the knowledge base-is the primary task of a Service Agent, which is designed for self-service support and knowledge article retrieval. Although the requirement also includes the ability to submit a new Lead, Service Agent models are highly configurable to include custom actions, such as a "Create Lead" action, using Agentforce Builder. Furthermore, the Service Agent type is intended to be deployed to external-facing Experience Cloud sites to provide support to external authenticated users, such as partners.
NEW QUESTION # 92
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the Agentforce Specialist investigate as the root cause?
Answer: C
Explanation:
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B). In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
Review Action Instructions: Ensure each custom action has distinct, context-specific instructions.
For example:
Action 1: "Summarize quarterly sales by region."
Action 2: "Generate a product-wise sales breakdown for the current fiscal year." Action 3: "Provide a comparison of sales performance between online and in-store channels." Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.
NEW QUESTION # 93
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